Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection

no code implementations • 8 Sep 2021 • Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo

Federated learning (FL) is a distributed machine learning paradigm that allows clients to collaboratively train a model over their own local data.

Federated Learning